Screen names for dating sites examples of hyperbole

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Because Git Hub is big and their study is automated, they manage to get a really nice sample size – about 2.5 million pull requests by men and 150,000 by women. ) requests accepted than men for all of the top ten programming languages.They check some possible confounders – whether women make smaller changes (easier to get accepted) or whether their changes are more likely to serve an immediate project need (again, easier to get accepted) and in fact find the opposite – women’s changes are larger and less likely to serve project needs.Eyeballing the graph, it looks like being a woman gives you about a 1% advantage.I don’t see any discussion of this result, even though it’s half the study, and as far as I can tell the more statistically significant half.The study itself say that women do worse than men when gender is revealed, so since the researchers presumably have access to their real numbers data, that might mean the confidence intervals don’t overlap.From eyeballing the graph, it looks like the difference is 1% – ie, men get their requests approved 64% of the time, and women 63% of the time.The paper doesn’t give a lot of the analyses I want to see, and doesn’t make its data public, so we’ll have to go with the limited information they provide.

Eyeballing it it looks like it might be, just barely. The study describes its main finding as being that women have fewer requests approved when their gender is known.It hides on page 16 that men also have fewer requests approved when their gender is known.It describes the effect for women as larger, but does not report the size of the male effects, nor whether the difference is statistically significant.They do not report doing a test of statistical significance on whether it is really smaller or not. Among insiders, women get more requests accepted than men. Among insiders, people are biased towards women, that is, revealing genders gives women an advantage over men above and beyond the case where genders are hidden. Among outsiders, women still get more requests accepted than men. Among outsiders, revealing genders appears to show a bias against women.It’s not clear if this is statistically significant. When all genders are revealed among outsiders, men appear to have their requests accepted at a rate of 64%, and women of 63%.